datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Eighty percent of this problem is collecting the data and then transforming the data. The other 20 percent is ML- and data science–related tasks like finding the right model, doing EDA, and feature engineering.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

JULY 1, 2021

This combination of CRF and BiLSTM is often referred to as a BiLSTM-CRF model (Lample et al 2016), and its architecture is shown in Figure 2. Data exploration and preparation. We start by importing all the libraries needed for the ingestion, exploratory data analysis, and model building. import pickle import operator.

Modeling 111

Modeling Statistics Testing Metrics 111

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

The Unofficial Google Data Science Blog

MARCH 13, 2017

By MUKUND SUNDARARAJAN, ANKUR TALY, QIQI YAN Editor's note: Causal inference is central to answering questions in science, engineering and business and hence the topic has received particular attention on this blog. CoRR, 2016. [3] 2009, " Measuring invariances in deep networks ". Goodfellow, Quoc V. Le, Andrew M.

IT 68

IT Visualization Modeling Uncertainty 68

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. Toy example to present intuition for LIME from Ribeiro (2016). Conference on Knowledge Discovery and Data Mining, pp. 1135–1144, ACM, 2016. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

SEPTEMBER 25, 2019

Conducting exploratory analysis and extracting meaningful insights from data are core components of research and data science work. Time series data is commonly encountered. We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Domino Data Lab

MARCH 27, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Manipulating data with dplyr” chapter from the book, Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. Data scientists spend countless hours wrangling data.

Statistics 85

Statistics Data Science Visualization IT 85